Open Source Python Simulation Software - Page 4

ACP is a simulation framework aimed to production processes modeling. Compared to its ancestor - jES - it is lightweight, more general and written in Python. The basic goal of the simulator is to find bottlenecks in production process which could be hard to detect with traditional approaches (e.g., top-down). In addition, it can be used to speculate about “what-if” scenarios in order to suggest solution strategies.

The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.

This project is A Mitochondrial OxydoReduction Simulation System. It consists of two linked projects: a program for displaying and analysing large biomolecular systems (Floral) and a multi-agent simulator for biomolecular oxydoreduction systems (AMORSS).

This software has moved to http://www.poissonboltzmann.org/.

Create a series of programs to help ABAQUS users from creating models to retrieve results. Partially dump the slow and resource-consuming CAE interface.

ART is a flexible simulation framework for wind instruments. It includes a growing library of modelling elements. So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX expressions. Cylindrical and conical ducts can also be defined based on their geometry. Available models and their parameters can be enumerated and combined to form simulators for complex acoustical structures. Parameters can be specified symbolically by expressions containing other parameter values or global variables. Dependencies between parameters are resolved at run time. However, MuParserX expressions are compiled at design time. Zero-delay loops are detected and reported.

Welcome to the ActiveFolder project, the open source for management simulataion data and reproducing. ActiveFolder provide data reproduction for comparative study and searching reproduction data, by storing data coupled with provenance information. ActiveFolder is integrated existed grid computing service and cloud services. And also, ActiveFolder can be integrated with existed scientific computation, analysis and visualization software without modification.

AirTSP is also named AirTSP (TSP standing for Travel Service Provider). That project aims at providing a clean API and a simple implementation, as a C++ library, of an Airline Schedule Management System. It is intended to be used in simulated environments only: it is not designed to work in the real-world of Airline IT operations. AirTSP/AirTSP makes an extensive use of existing open-source libraries for increased functionality, speed and accuracy. In particular the Boost (C++ Standard Extensions: http://www.boost.org) library is used. AirTSP/AirTSP is the one of the components of the Travel Market Simulator (http://www.travel-market-simulator). However, it may be used in a stand-alone mode.

Compute Aircraft (jet) Trajectories based upon Eurocontrol BADA Aircraft Performance Model

The Amazon Braket Default Simulator is a Python open-source library that provides an implementation of a quantum simulator that you can run locally. You can use the simulator to test quantum tasks that you construct for the Amazon Braket SDK before you submit them to the Amazon Braket service for execution. You must have the Amazon Braket SDK installed to use the local simulator. Follow the instructions in the README for setup. If you want to contribute to the project, be sure to run unit tests and get a successful result before you submit a pull request. The execution times for the performance tests are affected by the other processes running on the system. In order to get stable results, stop other applications when running these tests.

Astrophotography Lab (APLab) is a free program intended for anyone interested in astrophotography. It has two main purposes: - Interpreting data extracted from your astrophotos to produce useful information. - Using this information as a help for further improving your imaging results. The program consists of four main tools: an analyser tool, a calculator tool, a simulator tool and a plotting tool. The tools are connected, allowing you to transfer information between them, and easily go all the way from measuring your camera's sensor to finding the optimal settings for your next imaging session. APLab supports a wide range of CCD and DSLR cameras and telescopes by default, and you can easily add the necessary information for your own equipment. Check out the home page (linked to below) for more information and download links.

BARNACLE is a Python library for RNA 3D structure prediction. It can be used for probabilistic sampling of RNA structures that are compatible with a given nucleotide sequence and that are RNA like on a local length scale.

A user-friendly, quick simulator for Bayesian Multi-Arm Multi-Stage Trials

BETR-Research (BETRS) is a modelling framework to create spatially resolved multimedia models for the environmental fate- and transport of chemical contaminants. It is intended to serve the research community and can be used as a teaching tool.

An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.

Biologic Institute's Stylus simulation software suite. (See the SVN repository for source code.)

Biskit is a python library for structural bioinformatics research. It simplifies the analysis of macromolecular structures, protein complexes, and molecular dynamics trajectories and offers a platform for the rapid integration of external programs. PLEASE NOTE: The Biskit source code as well as any later releases are now hosted on https://github.com/graik/biskit The sourceforge repo is only kept here for reference.

Combines Blender's graphical interface and rendering capabilities with MBDyn's multi-body dynamics, aerodynamics, and aeroelastics simulation and analysis, for rapid modeling and realistic rendering of physics based multi-body simulations.

Using Blender3D as an interface for NC Simulation and Visualization

FreeBlockSim is a graphical block diagram editor/simulator for use with FreeSim++. FreeSim++ is a free to use C++ block library for dinamical systems simulation. Available soon on www.estudios-electricos.com

"Blue Planet" is a research project simulating the behaviour and darwinian evolution of unicellular lifeforms, each controlled by its own genetic program. Moreover, "Blue Planet Inhabitants" are suited for swarm intelligence and swarm research.

Brainlab is a Python toolkit to aid in the design, simulation, and analysis of spiking neural networks with the NeoCortical Simulator (NCS).

BrennerMD is a public domain Fortran molecular dynamics program by Donald Brenner and other people. This project is to maintain the original source code and to build a Python interface on top of it.

The Bristol Cloud Service simulation runner is a cloud computing Software as a Service designed to enable users to quickly launch simulation code on Amazon AWS' Elastic Compute Cloud (EC2). BRiCS is written in Python using the Django framework and interacts with EC2 using the boto API. BriCS enables multiple simulation runs to be launched in parallel from a web browser. Model configuration (parameters) files are uploaded via the browser and results files are downloadable on completion. BriCS enables researchers with software simulation models to access the rapid scale out opportunities of the cloud. Why wait days or weeks for a series of trials to complete when you can run them in parallel in the time it takes to complete one?

Brian is a new simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists.